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AI Trainer at Ardent Universe
Ardent Universe
September 08, 2026
Full-time
On-site
Job Summary
We are seeking experienced AI Trainers / AI Data Annotators to support the training and evaluation of artificial intelligence models.
Responsibilities
Review and annotate short video clips using detailed annotation guidelines.
Identify, classify and label actions, objects, interactions and events within video content.
Apply prompts accurately to assigned video and data tasks.
Timestamp specific events and activities within video clips.
Evaluate AI-generated responses and determine whether outputs accurately reflect the provided content.
Identify errors, inconsistencies and omissions in AI-generated outputs.
Provide precise feedback to improve AI model performance.
Maintain consistency and accuracy across large volumes of annotation tasks.
Escalate ambiguous or complex cases appropriately.
Requirements
Previous experience in AI training, data annotation, AI evaluation, RLHF, model evaluation or a related field.
Demonstrable experience reviewing and evaluating AI-generated content.
Strong understanding of prompts and how AI systems interpret instructions.
Experience with video, image, text or multimodal data annotation is highly desirable.
Excellent attention to detail and ability to make consistent judgments.
Strong written and spoken English.
Ability to interpret and apply detailed guidelines accurately.
Strong analytical and critical-thinking skills.
Ability to work independently and meet quality and productivity targets.
Reliable internet connection and suitable equipment for remote work.
Preferred Experience:
Experience with any of the following will be an advantage:
AI data annotation
AI response evaluation
RLHF or human feedback projects
Computer vision or video annotation
Prompt evaluation
Machine learning datasets
Content moderation or quality assurance
Multimodal AI evaluation
We are seeking experienced AI Trainers / AI Data Annotators to support the training and evaluation of artificial intelligence models.
Responsibilities
Review and annotate short video clips using detailed annotation guidelines.
Identify, classify and label actions, objects, interactions and events within video content.
Apply prompts accurately to assigned video and data tasks.
Timestamp specific events and activities within video clips.
Evaluate AI-generated responses and determine whether outputs accurately reflect the provided content.
Identify errors, inconsistencies and omissions in AI-generated outputs.
Provide precise feedback to improve AI model performance.
Maintain consistency and accuracy across large volumes of annotation tasks.
Escalate ambiguous or complex cases appropriately.
Requirements
Previous experience in AI training, data annotation, AI evaluation, RLHF, model evaluation or a related field.
Demonstrable experience reviewing and evaluating AI-generated content.
Strong understanding of prompts and how AI systems interpret instructions.
Experience with video, image, text or multimodal data annotation is highly desirable.
Excellent attention to detail and ability to make consistent judgments.
Strong written and spoken English.
Ability to interpret and apply detailed guidelines accurately.
Strong analytical and critical-thinking skills.
Ability to work independently and meet quality and productivity targets.
Reliable internet connection and suitable equipment for remote work.
Preferred Experience:
Experience with any of the following will be an advantage:
AI data annotation
AI response evaluation
RLHF or human feedback projects
Computer vision or video annotation
Prompt evaluation
Machine learning datasets
Content moderation or quality assurance
Multimodal AI evaluation